The fusion application of mathematical models and intelligent computing in data mining

In the field of modern data mining, a core challenge is how to accurately and efficiently filter out valuable information from huge and complex data. In order to solve this problem, this study innovatively combines mathematical models and intelligent computing technology to apply to the field of data mining. The study improves data processing efficiency by combining traditional data mining models with intelligent technology. Then, a neural network deep learning database is used to fully grasp the correlation between data in the data mining process. Finally, the experiment proves that the model proposed in this study has shown excellent performance in both accuracy and precision of data mining, with an accuracy rate of 92.91% and a precision rate of 97.90%. The success of this research has brought progress to the field of data mining, not only improving the efficiency and accuracy of data mining, but also showing broad application prospects and providing new ideas and impetus for future research and development.